The lack of a true data center efficiency metric is challenging IT and data center managers as they try to justify much needed IT investments to management. It also adds to the difficulty that data center managers have in comparing efficiencies across their data centers to prioritize where efficiency-improving actions will have the greatest impact. In addition, they need to be able to track data center efficiencies over time. Attend this session to find out how IT and data center managers can use an efficiency metric to address these challenges, by following a prioritized set of actions to gain the greatest improvement in efficiency.

4.
Data Center Output:
No Universal Measure Exists
First we will address the issue of reducing energy
consumption using Energy Logic, then we will turn
our attention to addressing data center output.
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12.
Data Center Efficiency:
Importance of Measuring Data Center Output
A Measure of Data Center Output is needed to help
drive the right behavior for improving efficiency
Lack of output metric limits focus and attention
– to the infrastructure (supply) side rather than on
both the IT (demand) and infrastructure sides
– to consumption rather than on both output and
consumption
Data Center Output
Data Center
=
Efficiency
Energy Consumed
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13.
Measuring Data Center Output:
Challenges
Data centers perform different types of work
– Processing-intensive for scientific and
financial applications
– Data transfer-intensive for Web-based
applications
Data center requirements change as mix of
workload shifts
However, industry experts can agree that
performance has improved dramatically over
the last 5 to 10 years
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21.
IT Efficiency in Perspective
Dramatic Impact on Business, Economy, Society
Significant improvement in productivity through
automation of tasks and processes
Better and faster decision making driven by availability of
richer real-time information and communication
Wider utilization of best cost resources around the world,
driving global economic development
Increased level of conveniences and benefits at the
individual and societal level
10X productivity gain across all industries per KW ICT*
Increase in energy consumption has been
small relative to increase in output -- and
benefits to economy and society.
* ACEEE: Information and Communication Technologies: The Power of Productivity, Report # E081
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24.
Defining Criteria for a
Data Center Efficiency Metric
A Measure of Data Center Output, even if less-than-ideal, can
help drive the right energy-saving behaviors
– Effective measure vs. Ideal or Fair Measure
Three criteria an effective measure must fulfill:
1. Most importantly, does it drive the right behavior?
2. Must be published at device level so that users can evaluate
competing technologies
3. Must be scalable to the data center, allowing the output of the
devices to be added together to produce an overall measure of data
center efficiency
Data Center Output
Data Center
Efficiency
=
Energy Consumed
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25.
Energy Logic Shows
Using PUE Does Not Drive Right Behavior
Total Facility IT Equipment
Power Power PUE PUE does not
(Mega Watts) (Mega Watts)
change even
1 Un-optimized
1.127 0.588 1.9 though energy
Data Center
consumption
reduces by 37%!!
Five IT 0.713 0.370
2 Actions Only (-37%) (-37%)
1.9
Five
0.858 MW 0.582
3 Infrastructure
(-24%) (-1%)
1.5
Actions Only
Total Facility Power
Using PUE does not
PUE = drive the right behavior.
IT Equipment Power
*PUE: Power Usage Effectiveness
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35.
Data Center Efficiency – Sample Template
Step 6
Calculate Data Center Efficiency by
dividing Total Data Center Output by
Total Energy Consumption.
95.8
0.25
383.2
For the first time, we have an understanding
of the true data center efficiency.
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36.
Data Center Efficiency
Using Sample Template to Compare Locations
Now that we know the efficiency of each of our data
centers, we can compare each of our locations.
95.8
A 0.25
383.2
107.5
B 0.2
537.5
Select data center locations on which to
focus efforts using Data Center Efficiency
and Total Energy Consumption measures.
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38.
Data Center Efficiency
Using Sample Template to Justify Investment
To estimate energy consumption in the ‘after’ scenario, calculate
energy savings of new servers and apply estimated cascade
effect multiplier. 1 (conservative) to 1.8 is recommended
After Before
95.8
0.25
383.2
181.8
0.2
909.0
The quantified improvement in Data Center Efficiency
as well as the lower energy costs from the reduction in
Total Energy Consumption provide meaningful data to
management to justify project investment.
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40.
IT & Data Center Managers Are Asking
How to compare efficiencies across data centers,
to prioritize for action
What specific actions to take to improve
efficiency
How to justify IT investments to management
How to track efficiencies over time
Data Center Efficiency Tool available on-line at: http://www.emerson.com/edc/Calculator/default.aspx
White Paper available at: http://www.emerson.com/edc/docs/EnergyLogicMetricPaper.pdf
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